Posts Tagged ‘machine learning’
Using machine learning to detect early stage cancers
IEOR alum applies machine learning to personalized healthcare
Yonatan Mintz, a 2018 Berkeley IEOR Ph.D. graduate, was recently appointed Assistant Professor at the University of Wisconsin-Madison’s Department of Industrial and Systems Engineering. Mintz applies optimization and machine learning methods to tailor healthcare interventions to individuals. Mintz’s research portfolio includes leveraging patient data to hone personalized health and wellness solutions through wearable technology, to…
Read MoreIEOR undergraduates selected as finalists for INFORMS Operations Research Prize
Three former Berkeley IEOR/ORMS undergraduate students, Liangyuan Na (B.A. Operations Research & Management Science ’18), Cong Yang (B.S. Industrial Engineering & Operations Research ’18), and Chi-Cheng Lo (B.S. Industrial Engineering & Operations Research ’18) are finalists in the INFORMS Undergraduate Operations Research Prize Competition. The students were advised by IEOR assistant professor Anil Aswani, and…
Read MoreNew machine learning technique may help prevent blindness for millions of people with diabetes
Diabetic retinopathy (DR) is the most common cause of vision loss among people with diabetes and a leading cause of blindness. Right now, there are an estimated 415 million people suffering from diabetes worldwide, and this number is projected to grow to 642 million by 2040. Approximately one-third of diabetic patients have DR. While blindness…
Read MoreGrigas to Investigate New Framework For Operations-Driven Machine Learning
IEOR professor Paul Grigas has just been awarded $290,060 by the National Science Foundation to improve operational decision-making by leveraging data and machine learning. Grigas will collaborate with Adam Elamchtoub from Columbia University to advance a new statistical learning framework called Smart “Predict, then Optimize” (SPO) which aims to improve optimization and prediction for better decisions in sectors such as transportation,…
Read MoreIEOR Graduate Students Creates New Exercise App Using Machine Learning
IEOR graduate students Mo Zhou and Yonatan Mintz are addressing exercise commitment issues with a new app that uses machine learning to adjust goals on a daily basis. Each New Year around 20% of Americans vow to lose weight, eat healthier, or exercise more. However, for many, this New Year’s resolution is one of the most difficult to keep. Work, school, and daily…
Read MoreNew York Times showcases AUTOLAB research on robot grasping
Today, the New York Times featured research being conducted at the UC Berkeley Laboratory for Automation Science and Engineering (AUTOLAB) led by IEOR Professor Ken Goldberg. AUTOLAB is breaking new ground in the area of robot grasping by helping robots teach themselves to reliably grasp irregularly-shaped objects that they have never encountered before. The robot uses a neural network to analyze a…
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